Signal processing algorithms, architectures, and systems are at the heart of modern technologies that generate, transform, and interpret information across applications as diverse as communications, ...

The Information Processing and Machine Learning Laboratory (IPML) supports research in theoretical algorithm development in digital signal processing, adaptive and nonlinear signal processing, machine ...

Form Recognizer brings unsupervised machine learning to paper document processing, and it’s a snap to build into your applications Microsoft’s Cognitive Services, powered by machine learning, are an ...

Machine learning has a wide range of applications in the finance, healthcare, marketing and transportation industries. It is used to analyze and process large amounts of data, make predictions, and ...

This article is part of Demystifying AI, a series of posts that (try to) disambiguate the jargon and myths surrounding AI. (In partnership with Paperspace) In recent years, the transformer model has ...

Machine learning is a subfield of artificial intelligence, which explores how to computationally simulate (or surpass) humanlike intelligence. While some AI techniques (such as expert systems) use ...

TAMPA, Fla., Feb. 16, 2022 /PRNewswire/ -- Tampa-based, Lumina Analytics announced today that it has developed a new form of machine learning called Random Contrast Learning or RCL. In early testing, ...